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Books on the topic 'Detection and segmentation'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Weiss, John. Automatic jet contrail detection and segmentation. National Aeronautics and Space Administration, 1997.

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2

Weiss, John. Automatic jet contrail detection and segmentation. National Aeronautics and Space Administration, 1997.

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3

Yang, Yi. Colour edge detection and segmentation using vector analysis. National Library of Canada, 1995.

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4

Rajalingam, Mallikka. Text Segmentation and Recognition for Enhanced Image Spam Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-53047-1.

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5

Liang, Kung-Hao. From uncertainty to adaptivity: Multiscale edge detection and image segmentation. typescript, 1997.

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6

Wang, Yaqi, Dahong Qian, Shuai Wang, et al., eds. Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88977-6.

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7

K, Kokula Krishna Hari, ed. An Image Segmentation and Classification for Brain Tumor Detection using Pillar K-Means Algorithm. Association of Scientists, Developers and Faculties, 2016.

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8

Vavrik, Ursula. A priori and a posteriori travel market segmentation: Tailoring automatic interaction detection and cluster analysis for tourism marketing. Centre des Hautes Etudes Touristiques, 1990.

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9

Zhong, Yuan. Image segmentation for defect detection on veneer surfaces. 1994.

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10

Wang, Xiaogang. Deep Learning in Object Recognition, Detection, and Segmentation. Now Publishers, 2016.

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11

Teutsch, Michael. Moving Object Detection and Segmentation for Remote Aerial Video Surveillance. Saint Philip Street Press, 2020.

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12

Moving Object Detection and Segmentation for Remote Aerial Video Surveillance. KIT Scientific Publishing, 2015.

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13

Automatic tumor segmentation in 2D MRI: Automation in tumor detection. LAP Lambert Academic Publishing, 2012.

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14

Teutsch, Michael. Moving Object Detection and Segmentation for Remote Aerial Video Surveillance. Saint Philip Street Press, 2020.

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15

Rajalingam, Mallikka. Text Segmentation and Recognition for Enhanced Image Spam Detection: An Integrated Approach. Springer International Publishing AG, 2021.

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16

Rajalingam, Mallikka. Text Segmentation and Recognition for Enhanced Image Spam Detection: An Integrated Approach. Springer International Publishing AG, 2020.

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17

Pham, Van Vung, and Tommy Dang. Hands-On Computer Vision with Detectron2: Develop Object Detection and Segmentation Models with a Code and Visualization Approach. de Gruyter GmbH, Walter, 2023.

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18

Zheng, Yefeng, and Dorin Comaniciu. Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures. Springer New York, 2016.

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19

Zheng, Yefeng, and Dorin Comaniciu. Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures. Springer, 2014.

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20

Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures. Springer, 2014.

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21

Wigmans, Richard. Instrumental Aspects. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786351.003.0005.

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This chapter deals with the practical aspects of designing, building and operating calorimeters. These aspects concern the structure of the detector (longitudinal and lateral segmentation, projective towers, hermeticity of 4π‎ devices), the readout of calorimeters based on detection of either light or charge signals, the operation in a magnetic field or at high luminosity, and the effects of radiation damage and how to deal with these. Also discussed are procedures for handling the signals, and using these to create triggers that may be used to select events of interest. Auxiliary equipment th

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22

Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, Deep RL, Unsupervised Learning, Object Detection and Segmentation, and More. de Gruyter GmbH, Walter, 2020.

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23

Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, Deep RL, Unsupervised Learning, Object Detection and Segmentation, and More, 2nd Edition. Packt Publishing, Limited, 2020.

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24

Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis. AK Peters, 2004.

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25

Elkins, Evan. Locked Out. NYU Press, 2019. http://dx.doi.org/10.18574/nyu/9781479830572.001.0001.

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“This content is not available in your country.” Media consumers around the world regularly run into this reminder of geography’s imprint on digital culture. Despite utopian hopes of a borderless digital society in an era of globalization, DVDs, video games, and streaming platforms include digital rights management mechanisms like region codes and IP address detection systems that block media access within certain territories. Although propped up by national and transnational intellectual property regulation, these technologies of “regional lockout” are designed primarily to keep the entertain

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26

Rajakumar, P. S., S. Geetha, and T. V. Ananthan. Fundamentals of Image Processing. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-80-8.

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"Fundamentals of Image Processing" offers a comprehensive exploration of image processing's pivotal techniques, tools, and applications. Beginning with an overview, the book systematically categorizes and explains the multifaceted steps and methodologies inherent to the digital processing of images. The text progresses from basic concepts like sampling and quantization to advanced techniques such as image restoration and feature extraction. Special emphasis is given to algorithms and models crucial to image enhancement, restoration, segmentation, and application. In the initial segments, the i

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